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What is Schrödinger?

Transform the domains of drug development and materials science by employing advanced molecular modeling approaches. Our computational platform, rooted in the principles of physics, offers distinct solutions for predictive modeling, data analysis, and collaborative efforts, enabling efficient exploration of chemical space. This state-of-the-art platform is utilized by top industries worldwide, supporting drug discovery projects and materials science endeavors in diverse fields such as aerospace, energy, semiconductors, and electronic displays. It propels our internal drug discovery initiatives, managing the entire process from identifying targets to discovering hits and optimizing leads. Moreover, it boosts our collaborative research aimed at developing innovative medicines to tackle major public health issues. With a dedicated team comprising over 150 Ph.D. scientists, we invest considerable resources into research and development. Our impact on the scientific community is highlighted by over 400 peer-reviewed publications that demonstrate the effectiveness of our physics-based approaches, ensuring we remain leaders in the evolution of computational modeling techniques. We are unwavering in our commitment to pioneering advancements and broadening the horizons of our industry while fostering partnerships that amplify our research capabilities.

What is CrowdChem?

The CrowdChem Data Platform acts as a cutting-edge knowledge center specifically designed for the chemistry industry, harnessing data collected through independent methods. This platform enables users to effectively select raw materials and pinpoint potential customers through its sophisticated data analysis and text mining features. For example, it aids in investigating innovative combinations of raw materials, improves the accuracy of research on chemical product applications, and compiles lists of potential clients for various businesses. Users gain access to a comprehensive information database drawn from patents, research articles, catalogs, and news sources, thus simplifying data retrieval processes. By employing machine learning and natural language processing techniques, the platform facilitates smooth raw material selection and customer identification, in addition to providing support for competitive analysis and other features. Furthermore, the incorporation of these advanced technologies not only boosts efficiency but also significantly enhances decision-making within the chemistry field. Overall, the CrowdChem Data Platform represents a major advancement in the way chemistry professionals access and utilize vital information.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Schrödinger

Company Location

United States

Company Website

www.schrodinger.com

Company Facts

Organization Name

CrowdChem

Date Founded

2023

Company Location

United States

Company Website

crowdchem.net/en/product-2/

Categories and Features

Simulation

1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling

Categories and Features

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